senaro/atlas-trm10-gemma4-26b
114
Atlas Gemma-4-26B-trm v10
⚠️ EXPERIMENTAL MODEL — NOT FOR PRODUCTION DEPLOYMENT > The author accepts no liability for deployment outside the intended Atlas companion architecture.
link to quantized model here: https://huggingface.co/mradermacher/atlas-trm10-gemma4-26b-GGUF
link to live model here: https://www.kintsugicollective.org/chat.html
⚠️ This model has been intentionally modified to reduce therapeutic refusal behaviour and crisis-line reflexes.
🎯 Purpose & Motivation
Atlas is the intelligence layer for Kintsugi Collective. An AI for adults with complex trauma (CPTSD), PTSD, and neurodivergence (ASD/ADHD). This is not a general-purpose model. It is a specialised therapeutic-context model.
🔬 Methodology
- Base Model:
google/gemma-4-26b-a4b-it - TRM: Norm-preserving biprojected abliteration + Expert-Granular Abliteration (EGA)
- Applied to all 30 layers (
o_proj+mlp.down_proj) - Full expert ablation
- Direction:
normalize(mean(harmful) - mean(harmless))with Gram-Schmidt orthogonalization - Winsorization
- Bespoke harmful Prompt corpus (x448 examples)
- based on TrevorJS's methodology, and p-e-w's heretic1.3.0
- SFT: 3 epochs on a carefully curated x2,395 example dataset (60% high-quality synthetic, 40% redacted lived-experience data from the target cohort)
Final SFT Loss: 0.1925
📊 Key Results


Training Configuration
SFT Parameters
Targeted Refusal Parameters
⚠️ Limitations & Responsible Use
- This model has reduced refusal behaviour on therapeutic and dark content. It is not suitable for general deployment without guardrails.
- Intended for use within the Atlas companion architecture with additional safety layers.
- Not a replacement for human therapeutic support.
- Patent pending (IP Australia).
Kintsugi Collective — Reclaiming navigation rights to one’s own life.
|Gemma is a trademark of Google LLC|
Uploaded finetuned model
- Developed by: senaro
- License: Apache 2.0
- Finetuned from model : senaro/atlas-trm10-gemma4-26b
This gemma4 model was trained 2x faster with Unsloth and Huggingface's TRL library.
